AI, ML and DS Essentials with Jay Shah

Preparation leads to Confidence.

And confidence is what gets you hired.

You already know the theory. You've watched the YouTube playlists. You've bookmarked LeetCode problems you'll "get to later." But when you sit in an actual interview — at a Goldman Sachs, a JP Morgan, a fast-moving AI startup — you freeze. Not because you're not smart enough. Because you don't know what they actually ask, how deep they go, or what a good answer sounds like.

This kit fixes that.

What this is

Everything I prepared, used, and learned across 14+ real AI/ML interviews — from early-stage startups to MNCs — organized so you can walk into your next interview knowing exactly what to expect.

I'm not a YouTuber or a course creator. I'm a Data Scientist. After graduating unplaced, I cracked my first role at LeewayHertz from scratch. Over the last 3 years, I've sat across the table at JP Morgan, Goldman Sachs, PayU, Vantedge AI, Deserv, Modulr, Sifthub, Simmplr, Sanius Health, Yugen AI, Strategy, and more. Got selected at most. Got rejected at some. Both taught me something — and I wrote all of it down.

Here's exactly what you get

14 Company Interview Breakdowns — Round by Round

Each company has its own folder. Inside each folder:

My Experience & Analysis — what the company was looking for, how the process worked, what I did right, and where I slipped up. Honest breakdowns, not polished highlight reels.

Round-by-Round Deep Dives — the exact questions asked in each round (Round 1, Round 2, Round 3, Round 4 — however many there were), with full answers. Not just "what was asked" but why they ask it, the precise answer with worked-out math, how a confident candidate explains it, where most people stumble, and every follow-up question written out.

Cheatsheet & Quick Prep — a rapid-fire summary per company so you can revise the night before.

Example — here's what the JP Morgan folder looks like:

JP Morgan/

Cheatsheet & Quick Prep.pdf

My Experience & Analysis.pdf

Round 1 Deep Dive.pdf

And here's a company with a longer process (Sifthub):

Sifthub/

Assignment and Solution/

Q1 Answer.pdf

Sanius Health Assignment.pdf

Cheatsheet & Quick Prep.pdf

My Experience & Analysis.pdf

Round 1 Assignment Deep Dive.pdf

Round 2 Deep Dive.pdf

Round 3 Managerial Round Guide.pdf

Every company is structured like this. 14 folders. Every round documented. You're not guessing what they'll ask — you're studying what they already did.

DSA-75 — Structured Coding Prep

Not random LeetCode. 22 core topics — Arrays, Binary Trees, Graphs, Dynamic Programming, Backtracking, Tries, Heaps, and more — each in its own folder, so you build pattern recognition across problem types. Includes a 30-day SDE sheet and a curated questions sheet. This covers 80–90% of what gets asked in FAANG, MNC, and AI/ML coding rounds.

DSA Mastery 150 — For When You Want to Go Deeper

18 focused topics including 1D/2D Dynamic Programming, Advanced Graphs, Sliding Window, Intervals, Heap/Priority Queue, Math & Geometry, and more. Built for people who don't just want to pass — they want to handle the hard variants confidently.

ML Resource Bundle

ML Resource Bundle/

25 ML Project Ideas with Datasets.pdf

50 ML Learning Resources.pdf

Machine Learning Roadmap.pdf

ML_System_Design.pdf

• 25 project ideas with real datasets — so you have something to build and talk about in interviews
• 50 curated learning resources — no "top 100 courses" fluff, just what's actually worth your time
• 5 common ML System Design use cases with full design diagrams — this is the round most people don't prep for
• The ML Roadmap I followed from zero to ML Engineer

1,500+ HR & Recruiter Emails

A spreadsheet of 1,500+ direct recruiter and HR email addresses across AI/ML/Data Science hiring companies in India. Job portals are a black hole. This lets you reach out directly.

Discord Community — Ongoing Access

This isn't a one-time download and goodbye. Once you buy, you're in my Discord where I share resources, answer questions directly, and post anything new I'm building for the community.

This is for you if

• You just graduated and have no idea where to start with AI/ML interviews
• You have 0–3 years of experience and keep getting rejected without clear feedback
• You're a software engineer trying to break into AI/ML/Data Science
• You want to switch companies and need to prep fast

This is NOT for you if

• You want a video course with hand-holding — this is a prep kit, not a classroom
• You're looking for a magic shortcut — you still have to put in the work